By Winnie Tam, Centre for University and School Partnership, The Chinese University of Hong Kong
Statistical learning (SL) is the ability to recognize and extract patterns from environmental data, such as language structures and sound co-occurrences. Accordingly, SL is crucial for language acquisition and reading skills. Zhou and colleagues studied the relationship between working memory (WM) and SL in children with developmental dyslexia (DD) and their typically developing (TD) peers. This cross-sectional study collected data from 2014 to 2019 and included 651 Grade 1 to Grade 6 Chinese children from Hong Kong, 199 of whom were diagnosed with DD by a clinical or educational psychologist.
The study consisted of two experiments. The first, an artificial orthography experiment, used pseudocharacters with varying predictability levels (high, moderate, low) to evaluate how WM influences distributional SL. Participants studied 30 pseudocharacters during the learning phase and identified whether a pseudocharacter had been shown previously in a testing phase. The findings showed no significant overall difference in working memory’s association with SL between DD and TD children. Notably, the effect of WM on SL was weaker for recognizing moderate-predictable items compared to those of high-predictability or low-predictability. With age, the positive effect of WM on recognition of familiar items (studied) increased in both groups. A negative association between WM and SL was found for unfamiliar items (non-studied), particularly among older children with DD.
The second experiment, a visual triplet learning task, assessed conditional SL using a two-alternative forced-choice format. After studying four triples of cartoons, children were required to identify the more familiar item between a familiar (studied) and an unfamiliar (not studied) triplet. Results indicated that children with DD showed a stronger effect of WM when recognizing sequences displayed as familiar-unfamiliar compared to unfamiliar-familiar items, while no such association was found in TD.
These findings highlight the complexity of the relationship between working memory and statistical learning, which varies according to the characteristics of the items and the specific type of statistical learning involved.

